New insights into modelling bacterial growth with reference to the fish pathogen Flavobacterium psychrophilum
20 páginas, 5 tablas, 3 figuras.
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| Format: | artículo biblioteca |
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Multidisciplinary Digital Publishing Institute
2020
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| Subjects: | Farmed fish, Bacterial diseases, Flavobacterium psychrophilum, Modelling, |
| Online Access: | http://hdl.handle.net/10261/220925 http://dx.doi.org/10.13039/501100000038 |
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dig-igm-es-10261-2209252021-12-27T16:49:23Z New insights into modelling bacterial growth with reference to the fish pathogen Flavobacterium psychrophilum Powell, C. D. López, Secundino France, J. Natural Sciences and Engineering Research Council of Canada Farmed fish Bacterial diseases Flavobacterium psychrophilum Modelling 20 páginas, 5 tablas, 3 figuras. Two new models, based upon the principles promulgated by Baranyi and co-workers are presented and resulting growth functions evaluated based upon their ability to mimic bacterial growth of the fish pathogen Flavobacterium psychrophilum. These growth functions make use of a dampening function to suppress potential growth, represented by a logistic, and are derived from rate:state differential equations. Dampening effects are represented by a rectangular hyperbola or a simple exponential, incorporated into a logistic differential equation and solved analytically resulting in two newly derived growth equations, viz. logistic × hyperbola (log × hyp) and logistic × exponential (log × exp). These characteristics result in flexible and robust growth functions that can be expressed as equations with biologically meaningful parameters. The newly derived functions (log × hyp and log × exp), along with the Baranyi (BAR), simple logistic (LOG) and its modified form (MLOG) were evaluated based upon examination of residuals and measures of goodness-of-fit and cross-validation. Using these criteria, log × hyp, log × exp and BAR performed better than, or at least equally well as, LOG and MLOG. In contrast with log × exp and BAR, log × hyp can be easily manipulated mathematically allowing for simple algebraic expressions for time and microbial biomass at inflexion point, in addition to maximum and scaled maximum growth rates. This research was funded by The Canada Research Chairs program, grant number 045867 (Natural Sciences and Engineering Research Council of Canada, Ottawa). 2020-10-07T10:50:05Z 2020-10-07T10:50:05Z 2020 2020-10-07T10:50:05Z artículo http://purl.org/coar/resource_type/c_6501 doi: 10.3390/ani10030435 issn: 2076-2615 Animals 10: 435 (2020) http://hdl.handle.net/10261/220925 10.3390/ani10030435 http://dx.doi.org/10.13039/501100000038 32150847 Publisher's version http://dx.doi.org/10.3390/ani10030435 Sí open Multidisciplinary Digital Publishing Institute |
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Farmed fish Bacterial diseases Flavobacterium psychrophilum Modelling Farmed fish Bacterial diseases Flavobacterium psychrophilum Modelling |
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Farmed fish Bacterial diseases Flavobacterium psychrophilum Modelling Farmed fish Bacterial diseases Flavobacterium psychrophilum Modelling Powell, C. D. López, Secundino France, J. New insights into modelling bacterial growth with reference to the fish pathogen Flavobacterium psychrophilum |
| description |
20 páginas, 5 tablas, 3 figuras. |
| author2 |
Natural Sciences and Engineering Research Council of Canada |
| author_facet |
Natural Sciences and Engineering Research Council of Canada Powell, C. D. López, Secundino France, J. |
| format |
artículo |
| topic_facet |
Farmed fish Bacterial diseases Flavobacterium psychrophilum Modelling |
| author |
Powell, C. D. López, Secundino France, J. |
| author_sort |
Powell, C. D. |
| title |
New insights into modelling bacterial growth with reference to the fish pathogen Flavobacterium psychrophilum |
| title_short |
New insights into modelling bacterial growth with reference to the fish pathogen Flavobacterium psychrophilum |
| title_full |
New insights into modelling bacterial growth with reference to the fish pathogen Flavobacterium psychrophilum |
| title_fullStr |
New insights into modelling bacterial growth with reference to the fish pathogen Flavobacterium psychrophilum |
| title_full_unstemmed |
New insights into modelling bacterial growth with reference to the fish pathogen Flavobacterium psychrophilum |
| title_sort |
new insights into modelling bacterial growth with reference to the fish pathogen flavobacterium psychrophilum |
| publisher |
Multidisciplinary Digital Publishing Institute |
| publishDate |
2020 |
| url |
http://hdl.handle.net/10261/220925 http://dx.doi.org/10.13039/501100000038 |
| work_keys_str_mv |
AT powellcd newinsightsintomodellingbacterialgrowthwithreferencetothefishpathogenflavobacteriumpsychrophilum AT lopezsecundino newinsightsintomodellingbacterialgrowthwithreferencetothefishpathogenflavobacteriumpsychrophilum AT francej newinsightsintomodellingbacterialgrowthwithreferencetothefishpathogenflavobacteriumpsychrophilum |
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